Table 1.

Parameters assessed at admission, their mean ± standard values (for continuous and ordinal variables) or percentages of occurrence (for binary variables), the raw (RI) and normalized importance (NI) identified by ARIANNA, the unstandardized (B) and standardized (Beta) coefficients of linear regressions followed by the p-values of being or not into the model. Variables were ordered according to their importance in the ANN.

Variables at Admission		Artificial Neural Network Analysis		Linear Regression
Parameters	Descriptive Statistics	RI	NI	B	Beta	p Values
SCIM	26.2 ± 20.6	19.9%	100.0%	0.517	0.409	0.000
WISCI	2.0 ± 5.2	15.2%	76.5%			0.609
Age (years)	51.5 ± 18.4	12.6%	63.2%	−0.438	−0.308	0.000
Lesion level	C: 34%, T: 47% L:19%	10.3%	51.5%	−5.740	−0.159	0.000
ASIA score	A:29% B:9% C:27% D:35%	6.6%	33.3%	−5.931	−0.268	0.000
Motor completeness	35.9%	5.8%	28.9%			0.964
Pressure sores	25.5%	4.5%	22.8%	−9.300	−0.151	0.000
Complications	28.3%	4.3%	21.6%			0.407
Deep vein thrombosis	0.5%	4.2%	21.2%			0.270
Aetiology (traumatic)	43.2%	4.1%	20.8%	3.109	0.059	0.024
Pulmonary embolism	1.0%	3.9%	19.6%			0.564
Having undergone surgical intervention	66.2%	2.9%	14.3%			0.251
Hectopic ossification	1.5%	2.1%	10.4%			0.857
Respiratory complications	2.2%	1.7%	8.5%			0.234
Gender	M:69% F:31%	1.3%	6.4%	−4.715	−0.081	0.000
Urological Complications	0.4%	0.6%	3.0%			0.196

p values in bold: statistically significant.